Predictive feedforward control

Xian Li; Shuai Liu; Kok Kiong Tan; Qing Guo Wang; Wen Jian Cai

doi:10.1109/ICCA.2016.7505377

Predictive feedforward control

Xian Li, Shuai Liu, Kok Kiong Tan, Qing Guo Wang, Wen Jian Cai

Electrical and Electronic Engineering Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

Measurable but controllable disturbances are common in industry, which drive systems away from their references and take time for feedback control to reject them, especially when the systems present input-output delays due to mechanical properties. In this paper, a novel feedforward control based on disturbance prediction is proposed. Besides, to compensate system responses to disturbance prediction errors, a general offsetting mechanism is proposed and performs much better than existing methods in literature.

Original language	English
Title of host publication	12th IEEE International Conference on Control and Automation, ICCA 2016
Publisher	IEEE Computer Society
Pages	804-809
Number of pages	6
ISBN (Electronic)	9781509017386
DOIs	https://doi.org/10.1109/ICCA.2016.7505377
Publication status	Published - 7 Jul 2016
Event	12th IEEE International Conference on Control and Automation, ICCA 2016 - Kathmandu, Nepal Duration: 1 Jun 2016 → 3 Jun 2016

Publication series

Name	IEEE International Conference on Control and Automation, ICCA
Volume	2016-July
ISSN (Print)	1948-3449
ISSN (Electronic)	1948-3457

Conference

Conference	12th IEEE International Conference on Control and Automation, ICCA 2016
Country/Territory	Nepal
City	Kathmandu
Period	1/06/16 → 3/06/16

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Control and Systems Engineering
Electrical and Electronic Engineering
Industrial and Manufacturing Engineering

Access to Document

10.1109/ICCA.2016.7505377

Cite this

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title = "Predictive feedforward control",

abstract = "Measurable but controllable disturbances are common in industry, which drive systems away from their references and take time for feedback control to reject them, especially when the systems present input-output delays due to mechanical properties. In this paper, a novel feedforward control based on disturbance prediction is proposed. Besides, to compensate system responses to disturbance prediction errors, a general offsetting mechanism is proposed and performs much better than existing methods in literature.",

author = "Xian Li and Shuai Liu and Tan, {Kok Kiong} and Wang, {Qing Guo} and Cai, {Wen Jian}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 12th IEEE International Conference on Control and Automation, ICCA 2016 ; Conference date: 01-06-2016 Through 03-06-2016",

year = "2016",

month = jul,

day = "7",

doi = "10.1109/ICCA.2016.7505377",

language = "English",

series = "IEEE International Conference on Control and Automation, ICCA",

publisher = "IEEE Computer Society",

pages = "804--809",

booktitle = "12th IEEE International Conference on Control and Automation, ICCA 2016",

address = "United States",

}

Li, X, Liu, S, Tan, KK, Wang, QG & Cai, WJ 2016, Predictive feedforward control. in 12th IEEE International Conference on Control and Automation, ICCA 2016., 7505377, IEEE International Conference on Control and Automation, ICCA, vol. 2016-July, IEEE Computer Society, pp. 804-809, 12th IEEE International Conference on Control and Automation, ICCA 2016, Kathmandu, Nepal, 1/06/16. https://doi.org/10.1109/ICCA.2016.7505377

Predictive feedforward control. / Li, Xian; Liu, Shuai; Tan, Kok Kiong et al.
12th IEEE International Conference on Control and Automation, ICCA 2016. IEEE Computer Society, 2016. p. 804-809 7505377 (IEEE International Conference on Control and Automation, ICCA; Vol. 2016-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Predictive feedforward control

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AU - Liu, Shuai

AU - Tan, Kok Kiong

AU - Wang, Qing Guo

AU - Cai, Wen Jian

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N2 - Measurable but controllable disturbances are common in industry, which drive systems away from their references and take time for feedback control to reject them, especially when the systems present input-output delays due to mechanical properties. In this paper, a novel feedforward control based on disturbance prediction is proposed. Besides, to compensate system responses to disturbance prediction errors, a general offsetting mechanism is proposed and performs much better than existing methods in literature.

AB - Measurable but controllable disturbances are common in industry, which drive systems away from their references and take time for feedback control to reject them, especially when the systems present input-output delays due to mechanical properties. In this paper, a novel feedforward control based on disturbance prediction is proposed. Besides, to compensate system responses to disturbance prediction errors, a general offsetting mechanism is proposed and performs much better than existing methods in literature.

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M3 - Conference contribution

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T3 - IEEE International Conference on Control and Automation, ICCA

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Y2 - 1 June 2016 through 3 June 2016

ER -

Predictive feedforward control

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